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2004
Springer
14 years 29 days ago
Review of Coding Techniques Applied to Remote Sensing
With the aim of obtaining a valid compression method for remote sensing and geographic information systems, and because comparisons among the different available techniques are not...
Joan Serra-Sagristà, Francesc Aulí L...
CORR
2008
Springer
151views Education» more  CORR 2008»
13 years 7 months ago
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
Compressive sampling offers a new paradigm for acquiring signals that are compressible with respect to an orthonormal basis. The major algorithmic challenge in compressive sampling...
Joel A. Tropp, Deanna Needell
CORR
2011
Springer
210views Education» more  CORR 2011»
13 years 2 months ago
Statistical Compressed Sensing of Gaussian Mixture Models
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Guoshen Yu, Guillermo Sapiro
ICASSP
2010
IEEE
13 years 2 months ago
Multichannel-compressive estimation of doubly selective channels in MIMO-OFDM systems: Exploiting and enhancing joint sparsity
We propose a compressive estimator of doubly selective channels within pulse-shaping multicarrier MIMO systems (including MIMOOFDM as a special case). The use of multichannel comp...
Daniel Eiwen, Georg Tauböck, Franz Hlawatsch,...
ICIP
2009
IEEE
13 years 5 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
Abdolreza A. Moghadam, Hayder Radha